Conversation
Adds facebook/belebele (eus_Latn) — a 900-item 4-way multiple choice reading comprehension benchmark with FLORES-sourced passages. - Plugin (_belebele_eu.py) assembles mc_answer1..4 into candidates list and converts 1-indexed correct_answer_num to 0-indexed gold. - Generic MC scorer handles answer extraction (no score_item needed). - Registered in site data under LatxaEvalSuite family and reading skill. Closes #8
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds Belebele EU (facebook/belebele, config eus_Latn) — a 900-item 4-way multiple choice reading comprehension benchmark with FLORES-sourced passages.
Changes
_belebele_eu.py— assembles mc_answer1..4 into candidates list and converts 1-indexed correct_answer_num to 0-indexed goldbelebele_eu.json— 4-way MC prompt with passage contextNo core engine changes needed — the generic MC scorer handles answer extraction.
Closes #8